// Tencent is pleased to support the open source community by making TNN available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the 
// specific language governing permissions and limitations under the License.

#include "tnn/interpreter/ncnn/layer_interpreter/abstract_layer_interpreter.h"
#include "tnn/interpreter/ncnn/ncnn_layer_type.h"
#include "tnn/interpreter/ncnn/ncnn_param_utils.h"

namespace TNN_NS {

namespace ncnn{

DECLARE_LAYER_INTERPRETER(Softmax);

REGISTER_LAYER_INTERPRETER(Softmax, Softmax);

    Status SoftmaxLayerInterpreter::InterpretProto(std::string type_name, 
                                                str_dict param_dict, 
                                                LayerType &type,
                                                LayerParam **param) {

        SoftmaxLayerParam* layer_param = new SoftmaxLayerParam();
        *param                        = layer_param; 

        type = ConvertNCNNLayerType(type_name);

        auto &p = param_dict;

        // ncnn axis [hwc], rpn axis nchw
        layer_param->axis = GetInt(p, 0, 0) + 1; 

        return TNN_OK;
    }

    Status SoftmaxLayerInterpreter::InterpretResource(Deserializer& deserializer,
                                                    std::shared_ptr<LayerInfo> info,   
                                                    LayerResource** resource) {

        return TNN_OK;
    }


}  // namespace ncnn

}  // namespace TNN_NS
